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  <div class="section" id="numpy-fromstring">
<h1>numpy.fromstring<a class="headerlink" href="#numpy-fromstring" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="numpy.fromstring">
<code class="sig-prename descclassname">numpy.</code><code class="sig-name descname">fromstring</code><span class="sig-paren">(</span><em class="sig-param">string</em>, <em class="sig-param">dtype=float</em>, <em class="sig-param">count=-1</em>, <em class="sig-param">sep=''</em><span class="sig-paren">)</span><a class="headerlink" href="#numpy.fromstring" title="Permalink to this definition">¶</a></dt>
<dd><p>A new 1-D array initialized from text data in a string.</p>
<dl class="field-list">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><dl>
<dt><strong>string</strong><span class="classifier">str</span></dt><dd><p>A string containing the data.</p>
</dd>
<dt><strong>dtype</strong><span class="classifier">data-type, optional</span></dt><dd><p>The data type of the array; default: float.  For binary input data,
the data must be in exactly this format. Most builtin numeric types are 
supported and extension types may be supported.</p>
<div class="versionadded">
<p><span class="versionmodified added">New in version 1.18.0: </span>Complex dtypes.</p>
</div>
</dd>
<dt><strong>count</strong><span class="classifier">int, optional</span></dt><dd><p>Read this number of <a class="reference internal" href="numpy.dtype.html#numpy.dtype" title="numpy.dtype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></a> elements from the data.  If this is
negative (the default), the count will be determined from the
length of the data.</p>
</dd>
<dt><strong>sep</strong><span class="classifier">str, optional</span></dt><dd><p>The string separating numbers in the data; extra whitespace between
elements is also ignored.</p>
<div class="deprecated">
<p><span class="versionmodified deprecated">Deprecated since version 1.14: </span>Passing <code class="docutils literal notranslate"><span class="pre">sep=''</span></code>, the default, is deprecated since it will
trigger the deprecated binary mode of this function. This mode
interprets <a class="reference external" href="https://docs.python.org/dev/library/string.html#module-string" title="(in Python v3.9)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">string</span></code></a> as binary bytes, rather than ASCII text with
decimal numbers, an operation which is better spelt
<code class="docutils literal notranslate"><span class="pre">frombuffer(string,</span> <span class="pre">dtype,</span> <span class="pre">count)</span></code>. If <a class="reference external" href="https://docs.python.org/dev/library/string.html#module-string" title="(in Python v3.9)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">string</span></code></a> contains unicode
text, the binary mode of <a class="reference internal" href="#numpy.fromstring" title="numpy.fromstring"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromstring</span></code></a> will first encode it into
bytes using either utf-8 (python 3) or the default encoding
(python 2), neither of which produce sane results.</p>
</div>
</dd>
</dl>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><dl class="simple">
<dt><strong>arr</strong><span class="classifier">ndarray</span></dt><dd><p>The constructed array.</p>
</dd>
</dl>
</dd>
<dt class="field-odd">Raises</dt>
<dd class="field-odd"><dl class="simple">
<dt><strong>ValueError</strong></dt><dd><p>If the string is not the correct size to satisfy the requested
<a class="reference internal" href="numpy.dtype.html#numpy.dtype" title="numpy.dtype"><code class="xref py py-obj docutils literal notranslate"><span class="pre">dtype</span></code></a> and <em class="xref py py-obj">count</em>.</p>
</dd>
</dl>
</dd>
</dl>
<div class="admonition seealso">
<p class="admonition-title">See also</p>
<p><a class="reference internal" href="numpy.frombuffer.html#numpy.frombuffer" title="numpy.frombuffer"><code class="xref py py-obj docutils literal notranslate"><span class="pre">frombuffer</span></code></a>, <a class="reference internal" href="numpy.fromfile.html#numpy.fromfile" title="numpy.fromfile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromfile</span></code></a>, <a class="reference internal" href="numpy.fromiter.html#numpy.fromiter" title="numpy.fromiter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">fromiter</span></code></a></p>
</div>
<p class="rubric">Examples</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">fromstring</span><span class="p">(</span><span class="s1">&#39;1 2&#39;</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="go">array([1, 2])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">np</span><span class="o">.</span><span class="n">fromstring</span><span class="p">(</span><span class="s1">&#39;1, 2&#39;</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39;,&#39;</span><span class="p">)</span>
<span class="go">array([1, 2])</span>
</pre></div>
</div>
</dd></dl>

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